Is the Risk of Developing a Crohn’s Disease Increased after Appendectomy? A Systematic Review of the Literature and Meta-Analysis
Why this work is in the frame
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Bibliographic record
Abstract
INTRODUCTION: The effect of appendectomy on the development of Crohn's disease (CD) is a matter of debate. The aim of this systematic review and meta-analysis was to gather the latest published data to determine whether patients with a history of appendectomy have an increased risk of developing CD or not. METHODS: MEDLINE, Embase, and the Cochrane Central Register of Controlled Trials were searched for case-control and cohort studies assessing the risk of developing CD after appendectomy. The pooled adjusted and not adjusted odds ratio (OR) with 95% confidence intervals (CIs) were calculated for case-control studies. Heterogeneity was assessed. Studies were ranked using the Newcastle-Ottawa Scale (NOS) and were all of good quality. RESULTS: Fourteen case-control studies and 6 cohort studies were included. Meta-analysis of case-control studies (33,243 patients) of raw OR shows a positive association between appendectomy and CD (OR: 1.51, 95% CI: 0.97-2.36, I2 = 87%), which was not statistically significant (p = 0.069). The meta-analysis of adjusted OR shows that appendectomy represents a statistically significant risk factor for the development of CD (OR: 1.86, 95% CI: 1.01-3.45, p = 0.047, I2 = 89%). CONCLUSION: Appendectomy appears to be a risk factor for the development of CD. However, the discrepant results obtained by meta-analysis of unadjusted OR, the heterogeneity between studies, and the lack of precision of the magnitude of the association mandate confirmation by a large epidemiological study.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.009 | 0.007 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it